Why Zhang Chaoyang Wants AI to Stay Inefficient
💡A useful counterpoint to AI automation: when should builders optimize for human character instead of speed?
⚡ 30-Second TL;DR
What Changed
The conversation contrasts large-model efficiency with deliberately slower creative processes.
Why It Matters
As generative AI makes content production faster and cheaper, distinctive human judgment may become more important rather than less. AI product teams may need to optimize not only throughput, but also authenticity, originality, and meaningful human involvement.
What To Do Next
Add a human-review checkpoint and an originality rubric to your LLM content pipeline instead of optimizing only for generation speed.
Key Points
- •The conversation contrasts large-model efficiency with deliberately slower creative processes.
- •It frames 'anti-efficiency' as a content philosophy rather than a technical optimization goal.
- •Human awkwardness and imperfection are presented as potential sources of differentiation.
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Original source: 钛媒体 ↗
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